anonymize.solutions vs Strac
Both platforms detect and anonymize PII, but differ fundamentally in data residency, privacy architecture, and detection methodology.
anonymize.solutions runs detection and anonymization on Hetzner servers in Falkenstein, Germany, under a signed agreement, and uses hybrid rule-and-NLP detection with 267 entity types. Strac is US-based with AI-powered detection and focuses primarily on SaaS DLP with Slack/email integrations. Choose anonymize.solutions for EU compliance requirements and data sovereignty. Choose Strac for US-focused SaaS DLP with communication platform coverage.
Side-by-side overview
A comprehensive comparison across 20 dimensions that matter for PII detection and anonymization at scale.
| Dimension | anonymize.solutions | Strac |
|---|---|---|
| Data Residency | EU (Hetzner, Falkenstein, Germany) | US-based (AWS) |
| Privacy Architecture | Analysis in Germany; stored custom patterns encrypted in the browser | Standard cloud processing |
| Detection Method | Hybrid: NLP + Pattern + Checksum (rules deterministic) | AI/ML-based detection |
| Entity Types | 267 | 100+ built-in detectors |
| Languages | 48 (including RTL) | English-focused |
| Self-Hosted Option | ✓ anonym.plus runs locally | ✓ Self-hosted DLP engine (your AWS or data center) |
| MCP Server | ✓ Claude Desktop, Cursor, VS Code | ✓ Open-source MCP server |
| Office Add-in | ✓ Word, Excel, PowerPoint | — |
| Chrome Extension | ✓ AI chat protection | ✓ DLP browser extension |
| API Access | ✓ REST API with JWT auth | ✓ REST API |
| Deployment Options | Hosted (anonym.legal) or local (anonym.plus) | SaaS, private cloud or on-premise |
| GDPR Compliance | ✓ EU-hosted processing (Hetzner, Germany) | Partial (US data residency) |
| Zero-Knowledge | Stored custom patterns only (anonym.legal); local, nothing leaves the machine (anonym.plus) | — |
| Batch Processing | ✓ Batch size by plan, CSV + ZIP export | ✓ Via API |
| File Format Support | TXT, DOCX, PDF, CSV, JSON, images (OCR) | Text, documents, images |
| Custom Entity Rules | ✓ Regex patterns + entity groups | ✓ Custom detectors |
| Audit Trail | ✓ Comprehensive logging (no content logged) | ✓ Activity logs |
| Pricing Model | Monthly token plans (anonym.legal) or one-time licence (anonym.plus) | Per-user subscription |
| Support | Email; Enterprise by agreement | Email, Slack community |
| Open Source Components | ✓ Built on Microsoft Presidio | Proprietary |
Note: Competitor information based on the vendors’ public documentation, compiled in early 2026; only Strac’s detector count was re-checked, in September 2026. Entity counts, language support, and feature details may have changed since publication.
Deterministic vs AI-based detection
The fundamental difference: how each platform identifies PII in your data, and why it matters for compliance.
Hybrid Detection (NLP + Pattern + Checksum)
Pattern and checksum rules are deterministic and traceable to a specific rule. The NLP engine uses machine-learning models, whose results can change when a model version changes.
- NLP Engine — Microsoft Presidio with spaCy, Stanza, XLM-RoBERTa (anonym.legal, 267 entity types)
- Pattern Engine — regex recognizers with checksum validation (anonym.plus ships 317 of its own)
- Checksum — Luhn (credit cards), MOD 97 (IBAN), format verification
- Result — Rule hits are reproducible and traceable to a pattern
AI/ML-Based Detection
Machine learning models trained on data patterns. Detection quality depends on training data and model version.
- ML Models — Proprietary AI-trained detection
- Data Processing — Cloud-based inference
- Scope — Focused on SaaS DLP use cases
- Result — Model-dependent, may vary across versions
Reproducibility for compliance audits
When regulators ask why a specific field was flagged as PII, rule-based detection provides a clear, reproducible answer: which pattern, which rule. Model-based detection, ours included, is harder to explain.
Zero-Knowledge vs standard cloud processing
The most critical architectural difference: who can access your data during and after processing.
Encrypted Custom Patterns
With anonym.legal, custom patterns you store are encrypted in your browser; the server keeps only ciphertext. Encryption keys are derived on your device with Argon2id. The sign-in is not zero-knowledge (the password is sent at sign-in), and neither is document processing.
Reversible encryption
The encrypt operator uses AES and is reversible for whoever holds the key. In anonym.legal the key is sent with the request, so the service reads the text while it processes it. The desktop vault is encrypted with AES-256-GCM under a key derived from your password.
Text Processed in Memory
Text is processed in memory. It is stored, encrypted, only if you turn on history, or as a token mapping for reversible anonymization (24 hours by default, up to 30 days if you choose persistent).
Strac uses standard cloud processing: data is sent to their US-based servers for AI inference. While they implement security best practices, the fundamental model requires the provider to access your data during processing. For EU organizations subject to GDPR and Schrems II, this creates a data transfer compliance challenge.
Deployment options compared
anonymize.solutions offers two deployment models to match your security and compliance requirements: hosted (anonym.legal) and local (anonym.plus). Strac offers SaaS, private-cloud and on-premise deployment of its DLP engine.
anonymize.solutions Deployment Models
- anonym.legal (hosted) — Fully managed on EU infrastructure in Germany. Fastest to deploy, zero maintenance overhead
- anonym.plus (local) — Runs on your own machines under a perpetual licence; the text never leaves them, which also covers air-gapped requirements
Strac Deployment
- SaaS or self-hosted — Cloud-hosted SaaS, or a self-hosted mode that runs the DLP engine inside your own AWS account or data center
Integration Comparison
| Integration | anonymize | Strac |
|---|---|---|
| REST API | ✓ | ✓ |
| MCP Server (AI IDEs) | ✓ | ✓ |
| Office Add-in | ✓ | ✗ |
| Chrome Extension | ✓ | ✓ |
| Desktop App | ✓ | ✗ |
| Slack Integration | ✗ | ✓ |
| Email DLP | ✗ | ✓ |
Different focus areas: anonymize.solutions prioritizes document processing, AI safety, and developer tooling (MCP, Office Add-in, Desktop). Strac prioritizes SaaS DLP with communication platform integrations (Slack, email, Zendesk). Choose based on where your PII exposure risk is highest.
Switch from Strac in three steps
For API-based integrations, migration is straightforward. Map your existing calls and test in parallel before switching.
Evaluate with free trial
Sign up for a free anonym.legal account (or, for fully local use, try anonym.plus, free for one machine) and test with your actual data. Compare detection results side-by-side with your current Strac output. Verify entity coverage for your specific use cases.
Map API endpoints
Map existing Strac API calls to anonym.legal REST API endpoints. Both platforms use standard REST patterns; plan time to map entity types and response formats.
Switch — after a parallel test
Update your API credentials and base URL. Test in parallel before cutting over, for API calls and workflow automations alike.
See anonymize.solutions in Action
Try our platforms live to compare with Strac. Both free tiers need a free account.
anonym.legal ↗
HOSTED PLATFORM
Runs on our servers in Falkenstein, Germany. Web app, desktop client, Office and LibreOffice add-ins, Chrome extension, Nextcloud apps, REST API and MCP. 267 entity types, 48 languages. Free tier, then from €3 a month.
anonym.plus ↗
RUNS ON YOUR MACHINE
A desktop client that does the work on your own computer. The text never leaves it — no upload, no API call, no account needed to start. 317 own pattern recognisers. Free for one machine, then a one-time licence from €149.
Which one fits →
SIDE BY SIDE
The choice is rarely about features — both find and remove the same kinds of data. It is about whether your text is allowed to leave the building.
Frequently Asked Questions
30 technical, compliance, and migration questions about switching from Strac to anonymize.solutions.
Yes. Besides its SaaS, Strac offers a self-hosted mode that runs its DLP engine inside your own AWS account or data center. anonymize.solutions offers two products: anonym.legal, hosted in Germany, and anonym.plus, which runs on your own machines under a perpetual licence.
Yes. Strac publishes an open-source MCP server (strac-mcp-dlp) for AI agents. anonym.legal also offers an MCP server (anonym-legal-mcp-server, from the Pro plan) that brings PII detection and anonymization into AI assistants such as Claude.
Strac uses proprietary ML/AI models for detection. anonym.legal combines deterministic pattern and checksum rules with Microsoft Presidio NLP models; anonym.plus adds 317 of its own pattern recognizers. Rule-based hits are reproducible and traceable to a specific rule — useful for legal documentation and audits. The NLP models are machine learning too, so their results can change between model versions.
No. anonymize.solutions integrates directly into Microsoft Word, Excel, and PowerPoint via a native Office Add-in. Strac has no comparable Office integration.
Strac supports redaction and replacement. anonymize.solutions provides 5 methods: Replace, Redact, Mask, Hash (SHA-256) and Encrypt.
Strac offers an on-premise deployment inside your own AWS account or data center; ask Strac whether it runs fully disconnected. anonymize.solutions offers a desktop app (anonym.plus) with local NLP models that works offline after a one-time online activation (an update check at startup is on by default and can be switched off) — suitable for defense, government, and air-gapped enterprise networks.
Strac states 100+ built-in detectors (strac.io, September 2026). anonym.legal detects 267 entity types across 48 languages, including region-specific identifiers like German Steuer-ID, French INSEE/NIR, UK NI Number, and Dutch BSN.
Strac is focused primarily on US formats (US SSN, US phone, US address). anonym.legal ships recognisers for many country-specific formats, including European identifiers such as the German tax ID, the French INSEE/NIR and the Dutch BSN.
Strac processes data on AWS infrastructure, primarily US-based. This creates challenges for GDPR Article 44 compliance (cross-border data transfers). anonym.legal runs detection and anonymization on ISO 27001-certified Hetzner infrastructure in Falkenstein, Germany. Some auxiliary features, such as AI-assisted rule creation, can use providers outside the EU.
Strac uses a per-user subscription model. anonym.legal uses monthly plans with a token allowance per cycle, not per seat; anonym.plus is a one-time licence per machine with no subscription.
Strac's SaaS processes data in its cloud; its self-hosted mode runs the DLP engine inside your own AWS account or data center. anonym.legal processes the text on servers in Falkenstein, Germany; custom patterns you store are encrypted in your browser, with keys derived on your device via Argon2id. For processing that never leaves the machine, anonym.plus runs locally.
Strac retains activity logs and processes content for detection. With anonym.plus, the text is processed on your own machine and never reaches a vendor.
Strac offers a Data Processing Agreement (DPA), but data is processed in US infrastructure. anonym.legal runs detection and anonymization on Hetzner servers in Falkenstein, Germany; some auxiliary features can use providers outside the EU, so check the subprocessor list for your Article 44 assessment.
Yes — batch size depends on the plan in anonym.legal, with CSV summary export and ZIP archive download. Strac supports batch processing via API only with no desktop batch workflow.
Choose Strac if you need deep SaaS integrations (Slack DLP, email DLP, Jira monitoring) or US-only data with no EU residency requirement. Strac excels at enterprise data loss prevention across cloud SaaS platforms.
Choose anonymize.solutions when you need EU data residency, local processing, MCP Server integration, Office Add-in, air-gapped deployment, deterministic/auditable detection, or multilingual coverage (48 languages in anonym.legal).
Partly. anonym.legal provides a REST API with /analyze and /anonymize endpoints. You will need to update the base URL, authentication headers and entity type mappings; the effort depends on your integration, so validate it with a pilot.
Yes, Strac has a Chrome Extension. anonymize.solutions also provides a Chrome Extension with additional features: reversible encryption that restores original values after AI responds — not just one-way redaction.
Yes. The REST API integrates directly into GitHub Actions, GitLab CI, and Jenkins pipelines. piisafe.eu (our website scanner; PII detection needs an anonym.legal key) also provides a curl-based CI/CD example for automated pre-deployment PII checks.
Strac supports HIPAA, PCI-DSS, and SOC 2. anonym.legal ships presets for GDPR and HIPAA and runs on ISO 27001-certified Hetzner infrastructure in Germany. For PCI-DSS, CCPA or NIS2 you choose the entity types yourself. The certification is the data centre's, not ours.
It depends on the complexity of your integration. A minimal API-only integration can often switch in hours; integrations with custom entity rules take longer. Validate the timing with a pilot before committing to a date.
Yes. anonym.legal includes 200 tokens/cycle free, and anonym.plus is free for one machine. The piisafe.eu website scanner has a free interface (20 scans/hour), but its PII detection needs an anonym.legal API key from €3/month.
Run both on the same test dataset. Key evaluation metrics: entity recall (how many PII instances found), precision (false positive rate), speed, and coverage for your specific languages and entity types. anonymize.solutions offers a no-commitment free tier for evaluation.
Not natively — Strac’s Slack DLP is a differentiator. anonymize.solutions focuses on API/document workflows. For Slack content protection, use the Chrome Extension for real-time interception or the REST API as a preprocessing layer.
Strac supports OCR for screenshots and PDFs. anonym.legal supports image redaction with OCR on PNG and JPG files, including bounding-box redaction with entity-type color coding.
anonymize.solutions. Rule-based detection produces reproducible results that can be traced to a pattern. Combined with piisafe.eu’s HTML/JSON/CSV export and GDPR Article 5/25/32/33 preset, it generates documentation directly usable in DPIAs and supervisory authority submissions.
anonym.legal's HIPAA preset detects a fixed set of identifier types; the Safe Harbor ZIP-code and age rules and a manual review remain necessary, and the de-identification decision stays with you. Strac supports HIPAA detection but focuses on DLP prevention rather than de-identification documentation.
Strac does not have explicit EU AI Act tooling. anonymize.solutions, through piisafe.eu’s EU AI Act compliance scanner, specifically addresses Article 10 (Data Governance) documentation requirements for high-risk AI systems. High-risk obligations for Annex III systems apply from 2 December 2027 (Annex I: 2 August 2028).
Strac describes itself as SOC 2 Type II and ISO 27001-aligned (strac.io, September 2026), not as ISO 27001 certified. anonym.legal runs on ISO 27001-certified Hetzner infrastructure in Falkenstein; the certification is the data centre's, not ours.
With anonym.legal, text is processed in memory. It is stored, encrypted, only if you turn on history, or as a token mapping for reversible anonymization (24 hours by default, up to 30 days if you choose persistent). You can delete your account and revoke your API key at any time; invoices and payment records are retained as tax law requires. With anonym.plus, the text stays on your own machine. Strac: follow their standard data deletion procedures per their DPA.
Does this apply to your organisation?
The guide is general; your obligation is not. Tell us the sector and where the data is allowed to go, and we will tell you what applies.